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Chief Data Scientist

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Job ID: 2412797
Location: REMOTE WORK, IL, United States
Date Posted: Oct 4, 2024
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: Yes, 25 % of the Time
Minimum Clearance Required: Interim Secret
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: Remote
Benefits: Click here

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Job Description

Description

SAIC is seeking a Fully Remote Chief Data Scientist  to support our Advanced Analytics Team to utilize the Army Vantage Data Analytics System to build/implement models, use/create algorithms and create/run simulations.

NOTE: This position is a Fully Remote / Work from Home position. 

JOB DESCRIPTION:

  • Lead and mentor more junior data scientists in support of a larger data science roadmap.
  • Conduct analysis of mission data applicable in multiple domains.
  • Formulate and interpret problems in mathematical or computational terms.
  • Design, develop, use, and evaluate mathematical models, methods, and algorithm application to explore concepts and solve problems for the customer.
  • Develop, maintain, and enhance complex and diverse software algorithms (e.g. processing-intensive analytics, novel process development, manipulation of large data sets).
  • Research analysis products and tools for possible integration to enhance Analytics and AI offerings.
  • Create new tools and applications using a variety of software languages, frameworks, and libraries.
  • Improve, support, and test a MLOps framework to support other team member’s analysis work.
  • Refine and enhance existing applications to better meet the customer’s mission.
  • Code, test, and maintain internally developed mathematical software tools. 

Qualifications

REQUIRED EDUCATION AND EXPERIENCE: 

  • Bachelor’s degree fourteen (14)+ years of relevant experience; additional four (4) years of experience accepted in lieu of degree.
  • Relational database expertise in database storage, SQL queries, and primary/foreign keys.
  • Demonstrated proficiency in programming languages such as Python, C/C++, Java, and/or JavaScript.
  • Demonstrated on-the-job knowledge of providing data analytics solutions.
  • Hands-on experience creating algorithms and engineering tools for data processing and modeling and simulation.
  • Practical understanding in machine learning deployment with a focus on optimization, including theoretical and numerical methods for refinement of models.
  • Capability to distill complex problems into digestible structures/formats.

REQUIRED CLEARANCE: 

  • Must be able to obtain a full Secret Clearance; Interim Secret required prior to start, SAIC will help to obtain.

  • Must be a Current US Citizen.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

SAIC accepts applications on an ongoing basis and there is no deadline.

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.

Overview

SAIC® is a premier Fortune 500® technology integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a culture of diversity, equity and inclusion, which is core to our values and important to attract and retain exceptional talent. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.4 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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